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Modelling and measuring complexity of traditional and ancient technologies using Petri nets

Technologies and their production systems are used by archaeologists and anthropologists to study complexity of socio-technical systems. However, there are several issues that hamper agreement about what constitutes complexity and how we can systematically compare the complexity of production system...

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Autores principales: Fajardo, Sebastian, Kleijn, Jetty, Takes, Frank W., Langejans, Geeske H. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707756/
https://www.ncbi.nlm.nih.gov/pubmed/36445915
http://dx.doi.org/10.1371/journal.pone.0278310
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author Fajardo, Sebastian
Kleijn, Jetty
Takes, Frank W.
Langejans, Geeske H. J.
author_facet Fajardo, Sebastian
Kleijn, Jetty
Takes, Frank W.
Langejans, Geeske H. J.
author_sort Fajardo, Sebastian
collection PubMed
description Technologies and their production systems are used by archaeologists and anthropologists to study complexity of socio-technical systems. However, there are several issues that hamper agreement about what constitutes complexity and how we can systematically compare the complexity of production systems. In this work, we propose a novel approach to assess the behavioural and structural complexity of production systems using Petri nets. Petri nets are well-known formal models commonly used in, for example, biological and business process modelling, as well as software engineering. The use of Petri nets overcomes several obstacles of current approaches in archaeology and anthropology, such as the incompatibility of the intrinsic sequential logic of the available methods with inherently non-sequential processes, and the inability to explicitly model activities and resources separately. We test the proposed Petri net modelling approach on two traditional production systems of adhesives made by Ju/’hoan makers from Nyae, Namibia from Ammocharis coranica and Ozoroa schinzii plants. We run simulations in which we assess the complexity of these two adhesive production systems in detail and show how Petri net dynamics reveal the structural and behavioural complexity of different production scenarios. We show that concurrency may be prevalent in the production system of adhesive technologies and discuss how changes in location during the process may serve to control the behavioural complexity of a production system. The approach presented in this paper paves the way for future systematic visualization, analysis, and comparison of ancient production systems, accounting for the inherent complex, concurrent, and action/resource-oriented aspects of such processes.
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spelling pubmed-97077562022-11-30 Modelling and measuring complexity of traditional and ancient technologies using Petri nets Fajardo, Sebastian Kleijn, Jetty Takes, Frank W. Langejans, Geeske H. J. PLoS One Research Article Technologies and their production systems are used by archaeologists and anthropologists to study complexity of socio-technical systems. However, there are several issues that hamper agreement about what constitutes complexity and how we can systematically compare the complexity of production systems. In this work, we propose a novel approach to assess the behavioural and structural complexity of production systems using Petri nets. Petri nets are well-known formal models commonly used in, for example, biological and business process modelling, as well as software engineering. The use of Petri nets overcomes several obstacles of current approaches in archaeology and anthropology, such as the incompatibility of the intrinsic sequential logic of the available methods with inherently non-sequential processes, and the inability to explicitly model activities and resources separately. We test the proposed Petri net modelling approach on two traditional production systems of adhesives made by Ju/’hoan makers from Nyae, Namibia from Ammocharis coranica and Ozoroa schinzii plants. We run simulations in which we assess the complexity of these two adhesive production systems in detail and show how Petri net dynamics reveal the structural and behavioural complexity of different production scenarios. We show that concurrency may be prevalent in the production system of adhesive technologies and discuss how changes in location during the process may serve to control the behavioural complexity of a production system. The approach presented in this paper paves the way for future systematic visualization, analysis, and comparison of ancient production systems, accounting for the inherent complex, concurrent, and action/resource-oriented aspects of such processes. Public Library of Science 2022-11-29 /pmc/articles/PMC9707756/ /pubmed/36445915 http://dx.doi.org/10.1371/journal.pone.0278310 Text en © 2022 Fajardo et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Fajardo, Sebastian
Kleijn, Jetty
Takes, Frank W.
Langejans, Geeske H. J.
Modelling and measuring complexity of traditional and ancient technologies using Petri nets
title Modelling and measuring complexity of traditional and ancient technologies using Petri nets
title_full Modelling and measuring complexity of traditional and ancient technologies using Petri nets
title_fullStr Modelling and measuring complexity of traditional and ancient technologies using Petri nets
title_full_unstemmed Modelling and measuring complexity of traditional and ancient technologies using Petri nets
title_short Modelling and measuring complexity of traditional and ancient technologies using Petri nets
title_sort modelling and measuring complexity of traditional and ancient technologies using petri nets
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707756/
https://www.ncbi.nlm.nih.gov/pubmed/36445915
http://dx.doi.org/10.1371/journal.pone.0278310
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